Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch

The guide to tackle with the Text Summarization

The guide to tackle with the Text Summarization

Takahiro Kubo 1.2k Dec 30, 2022
Header-only C++ HNSW implementation with python bindings

Hnswlib - fast approximate nearest neighbor search Header-only C++ HNSW implementation with python bindings. NEWS: version 0.6 Thanks to (@dyashuni) h

2.3k Jan 05, 2023
Fake news detector filters - Smart filter project allow to classify the quality of information and web pages

fake-news-detector-1.0 Lists, lists and more lists... Spam filter list, quality keyword list, stoplist list, top-domains urls list, news agencies webs

Memo Sim 1 Jan 04, 2022
Toward a Visual Concept Vocabulary for GAN Latent Space, ICCV 2021

Toward a Visual Concept Vocabulary for GAN Latent Space Code and data from the ICCV 2021 paper Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Kl

Sarah Schwettmann 13 Dec 23, 2022
NLP, before and after spaCy

textacy: NLP, before and after spaCy textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the hig

Chartbeat Labs Projects 2k Jan 04, 2023
Generate a cool README/About me page for your Github Profile

Github Profile README/ About Me Generator 💯 This webapp lets you build a cool README for your profile. A few inputs + ~15 mins = Your Github Profile

Rahul Banerjee 179 Jan 07, 2023
Code to reprudece NeurIPS paper: Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks

Accelerated Sparse Neural Training: A Provable and Efficient Method to FindN:M Transposable Masks Recently, researchers proposed pruning deep neural n

itay hubara 4 Feb 23, 2022
[NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields

Learning Signal-Agnostic Manifolds of Neural Fields This is the uncleaned code for the paper Learning Signal-Agnostic Manifolds of Neural Fields. The

60 Dec 12, 2022
skweak: A software toolkit for weak supervision applied to NLP tasks

Labelled data remains a scarce resource in many practical NLP scenarios. This is especially the case when working with resource-poor languages (or text domains), or when using task-specific labels wi

Norsk Regnesentral (Norwegian Computing Center) 850 Dec 28, 2022
OpenChat: Opensource chatting framework for generative models

OpenChat is opensource chatting framework for generative models.

Hyunwoong Ko 427 Jan 06, 2023
Kerberoast with ACL abuse capabilities

targetedKerberoast targetedKerberoast is a Python script that can, like many others (e.g. GetUserSPNs.py), print "kerberoast" hashes for user accounts

Shutdown 213 Dec 22, 2022
Negative sampling for solving the unlabeled entity problem in NER. ICLR-2021 paper: Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition.

Negative Sampling for NER Unlabeled entity problem is prevalent in many NER scenarios (e.g., weakly supervised NER). Our paper in ICLR-2021 proposes u

Yangming Li 128 Dec 29, 2022
Crowd sourced training data for Rasa NLU models

NLU Training Data Crowd-sourced training data for the development and testing of Rasa NLU models. If you're interested in grabbing some data feel free

Rasa 169 Dec 26, 2022
MEDIALpy: MEDIcal Abbreviations Lookup in Python

A small python package that allows the user to look up common medical abbreviations.

Aberystwyth Systems Biology 7 Nov 09, 2022
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).

For better performance, you can try NLPGNN, see NLPGNN for more details. BERT-NER Version 2 Use Google's BERT for named entity recognition (CoNLL-2003

Kaiyinzhou 1.2k Dec 26, 2022
💫 Industrial-strength Natural Language Processing (NLP) in Python

spaCy: Industrial-strength NLP spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest researc

Explosion 24.9k Jan 02, 2023
NLPretext packages in a unique library all the text preprocessing functions you need to ease your NLP project.

NLPretext packages in a unique library all the text preprocessing functions you need to ease your NLP project.

Artefact 114 Dec 15, 2022
FastFormers - highly efficient transformer models for NLU

FastFormers FastFormers provides a set of recipes and methods to achieve highly efficient inference of Transformer models for Natural Language Underst

Microsoft 678 Jan 05, 2023
Composed Image Retrieval using Pretrained LANguage Transformers (CIRPLANT)

CIRPLANT This repository contains the code and pre-trained models for Composed Image Retrieval using Pretrained LANguage Transformers (CIRPLANT) For d

Zheyuan (David) Liu 29 Nov 17, 2022